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The DP-300 Certification Exam is intended for database administrators, architects, and developers who work with Azure SQL Database and Azure SQL Managed Instance. Candidates who pass the exam can demonstrate their proficiency in designing, implementing, and managing databases on the Azure platform, as well as their ability to troubleshoot issues and optimize performance.

Exam DP-300: Administering Relational Databases on Microsoft Azure

Candidates for this exam are database administrators and data management specialists that manage on-premises and cloud relational databases built with Microsoft SQL Server and Microsoft Azure Data Services.

The Azure Database Administrator implements and manages the operational aspects of cloud-native and hybrid data platform solutions built on Azure Data Services and SQL Server. The Azure Database Administrator uses a variety of methods and tools to perform day-to-day operations, including applying knowledge of using T-SQL for administrative management purposes.

This role is responsible for management, availability, security and performance monitoring and optimization of modern relational database solutions. This role works with the Azure Data Engineer role to manage operational aspects of data platform solutions.

Candidates for this role should understand all concepts covered in Exam DP-900: Microsoft Azure Data Fundamentals.

Part of the requirements for: Microsoft Certified: Azure Database Administrator Associate

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Microsoft DP-300 Exam Syllabus Topics:

Topic	Details
Plan and Implement Data Platform Resources (15-20%)
Deploy resources by using manual methods	-deploy database offerings on selected platforms -configure customized deployment templates -apply patches and updates for hybrid and IaaS deployment
Recommend an appropriate database offering based on specific requirements	-evaluate requirements for the deployment -evaluate the functional benefits/impact of possible database offerings -evaluate the scalability of the possible database offering - evaluate the HA/DR of the possible database offering -evaluate the security aspects of the possible database offering
Configure resources for scale and performance	-configure Azure SQL Database for scale and performance -configure Azure SQL managed instances for scale and performance -configure SQL Server in Azure VMs for scale and performance -calculate resource requirements -evaluate database partitioning techniques, such as database sharding -set up SQL Data Sync
Evaluate a strategy for moving to Azure	-evaluate requirements for the migration -evaluate offline or online migration strategies -evaluate requirements for the upgrade -evaluate offline or online upgrade strategies
Implement a migration or upgrade strategy for moving to Azure	-implement an online migration strategy -implement an offline migration strategy -implement an online upgrade strategy -implement an offline upgrade strategy
Implement a Secure Environment (15-20%)
Configure database authentication by using platform and database tools	-configure Azure AD authentication -create users from Azure AD identities -configure security principals
Configure database authorization by using platform and database tools	-configure database and object-level permissions using graphical tools -apply principle of least privilege for all securables
Implement security for data at rest	-implement Transparent Data Encryption (TDE) - implement object-level encryption -implement Dynamic Data Masking -implement Azure Key Vault and disk encryption for Azure VMs
Implement security for data in transit	-configure server and database-level firewall rules -implement Always Encrypted
Implement compliance controls for sensitive data	-apply a data classification strategy -configure server and database audits -implement data change tracking -perform a vulnerability assessment
Monitor and Optimize Operational Resources (15-20%)
Monitor activity and performance	-prepare an operational performance baseline -determine sources for performance metrics -interpret performance metrics - configure and monitor activity and performance at the infrastructure, server, service, and database levels
Implement performance-related maintenance tasks	-implement index maintenance tasks -implement statistics maintenance tasks -configure database auto-tuning -manage storage capacity
Identify performance-related issues	- configure Query Store to collect performance data -identify sessions that cause blocking -assess growth/fragmentation of databases and logs -assess performance-related database configuration parameters
Configure resources for optimal performance	-configure storage and infrastructure resources -configure server and service account settings for performance -configure Resource Governor for performance
Configure a user database for optimal performance	-implement database-scoped configuration -configure compute resources for scaling -configure Intelligent Query Processing (IQP)
Optimize Query Performance (5-10%)
Review query plans	-determine the appropriate type of execution plan -identify problem areas in execution plans -extract query plans from the Query Store
Evaluate performance improvements	- determine the appropriate Dynamic Management Views (DMVs) to gather query performance information -identify performance issues using DMVs -identify and implement index changes for queries -recommend query construct modifications based on resource usage -assess the use of hints for query performance
Review database table and index design	-identify data quality issues with duplication of data -identify normal form of database tables -assess index design for performance -validate data types defined for columns -recommend table and index storage including filegroups -evaluate table partitioning strategy - evaluate the use of compression for tables and indexes
Perform Automation of Tasks (10-15%)
Create scheduled tasks	-manage schedules for regular maintenance jobs -configure multi-server automation -configure notifications for task success/failure/non-completion
Evaluate and implement an alert and notification strategy	-create event notifications based on metrics -create event notifications for Azure resources -create alerts for server configuration changes -create tasks that respond to event notifications
Manage and automate tasks in Azure	-perform automated deployment methods for resources -implement policies by using automated evaluation modes
Plan and Implement a High Availability and Disaster Recovery (HADR) Environment (15-20%)
Recommend an HADR strategy for a data platform solution	-recommend HADR strategy based on RPO/RTO requirements -evaluate HADR for hybrid deployments -evaluate Azure-specific HADR solutions -identify resources for HADR solutions
Test an HADR strategy by using platform, OS, and database tools	-test HA by using failover -test DR by using failover or restore
Perform backup and restore a database by using database tools	- perform a database backup with options - perform a database restore with options -perform a database restore to a point in time -configure long-term backup retention
Configure HA/DR by using OS, platform, and database tools	-configure replication -create anAlways On Availability Group -configure auto-failover groups -integrate a database into an Availability Group - configure quorum options for a Windows Server Failover Cluster -configure an Availability Group listener
Perform Administration by Using T-SQL (10-15%)
Examine system health	-evaluate database health using DMVs -evaluate server health using DMVs -perform database consistency checks by using DBCC

Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q238-Q243):

NEW QUESTION # 238
You configure version control for an Azure Data Factory instance as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE:Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Graphical user interface, text, application Description automatically generated

Box 1: adf_publish
By default, data factory generates the Resource Manager templates of the published factory and saves them into a branch called adf_publish. To configure a custom publish branch, add a publish_config.json file to the root folder in the collaboration branch. When publishing, ADF reads this file, looks for the field publishBranch, and saves all Resource Manager templates to the specified location. If the branch doesn't exist, data factory will automatically create it. And example of what this file looks like is below:
{
"publishBranch": "factory/adf_publish"
}
Box 2: /dwh_barchlet/ adf_publish/contososales
RepositoryName: Your Azure Repos code repository name. Azure Repos projects contain Git repositories to manage your source code as your project grows. You can create a new repository or use an existing repository that's already in your project.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/source-control

NEW QUESTION # 239
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure SQL database named Sales.
You need to implement disaster recovery for Sales to meet the following requirements:
- During normal operations, provide at least two readable copies of
Sales.
- Ensure that Sales remains available if a datacenter fails.
Solution: You deploy an Azure SQL database that uses the Business Critical service tier and Availability Zones.
Does this meet the goal?

A. Yes
B. No

Answer: A

Explanation:
Premium and Business Critical service tiers leverage the Premium availability model, which integrates compute resources (sqlservr.exe process) and storage (locally attached SSD) on a single node. High availability is achieved by replicating both compute and storage to additional nodes creating a three to four-node cluster.
By default, the cluster of nodes for the premium availability model is created in the same datacenter. With the introduction of Azure Availability Zones, SQL Database can place different replicas of the Business Critical database to different availability zones in the same region. To eliminate a single point of failure, the control ring is also duplicated across multiple zones as three gateway rings (GW).
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/high-availability-sla

NEW QUESTION # 240
You have an Azure subscription that uses a domain named contoso.com.
You have two Azure VMs named DBServer1 and DBServer2. Each of them hosts a default SQL Server instance. DBServer1 is in the East US Azure region and contains a database named Database A. DBServer2 is in the West US Azure region.
DBServer1 has a high volume of data changes and low latency requirements for data writes.
You need to configure a new availability group for DatabaseA. The secondary replica will reside on DBServer2.
What should you do?

A. Configure the primary endpoint as TCP://DBServer1.contoso.com:445, configure the secondary endpoint as TCP://DBServer2.contoso.com:445, and set the availability mode to Synchronous.
B. Configure the primary endpoint as TCP://DBServer1.contoso.com:5022, configure the secondary endpoint as TCP://DBServer2.contoso.com:5022, and set the availability mode to Asynchronous.
C. Configure the primary endpoint as TCP://DBServer1.contoso.com:445, configure the secondary endpoint as TCP://DBServer2.contoso.com:445, and set the availability mode to Asynchronous.
D. Configure the primary endpoint as TCP://DBServer1.contoso.com:5022, configure the secondary endpoint as TCP://DBServer2.contoso.com:5022, and set the availability mode to Synchronous.

Answer: B

Explanation:
Reference:
https://docs.microsoft.com/en-us/sql/database-engine/availability-groups/windows/availability-modes-always-on-availability-groups?view=sql-server-ver15

NEW QUESTION # 241
You have an Azure subscription that contains an Azure Data Factory version 2 (V2) data factory named df1.
DF1 contains a linked service.
You have an Azure Key vault named vault1 that contains an encryption kay named key1.
You need to encrypt df1 by using key1.
What should you do first?

A. Disable purge protection on vault1.
B. Create a self-hosted integration runtime.
C. Disable soft delete on vault1.
D. Remove the linked service from df1.

Answer: D

Explanation:
A customer-managed key can only be configured on an empty data Factory. The data factory can't contain any resources such as linked services, pipelines and data flows. It is recommended to enable customer-managed key right after factory creation.
Note: Azure Data Factory encrypts data at rest, including entity definitions and any data cached while runs are in progress. By default, data is encrypted with a randomly generated Microsoft-managed key that is uniquely assigned to your data factory.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/enable-customer-managed-key

NEW QUESTION # 242
You are developing an application that uses Azure Data Lake Storage Gen 2.
You need to recommend a solution to grant permissions to a specific application for a limited time period.
What should you include in the recommendation?

A. account keys
B. Azure Active Directory (Azure AD) identities
C. role assignments
D. shared access signatures (SAS)

Answer: D

Explanation:
A shared access signature (SAS) provides secure delegated access to resources in your storage account.
With a SAS, you have granular control over how a client can access your data. For example:
What resources the client may access.
What permissions they have to those resources.
How long the SAS is valid.
Note: Data Lake Storage Gen2 supports the following authorization mechanisms:
- Shared Key authorization
- Shared access signature (SAS) authorization
- Role-based access control (Azure RBAC)
Access control lists (ACL) Data Lake Storage Gen2 supports the following authorization mechanisms:
- Shared Key authorization
- Shared access signature (SAS) authorization
- Role-based access control (Azure RBAC)
- Access control lists (ACL)
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-sas-overview

NEW QUESTION # 243
......

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Emma Bennett Emma Bennett

Biography

DP-300 Vce Free and Microsoft DP-300 Reliable Test Syllabus: Administering Relational Databases on Microsoft Azure Pass Success

Exam DP-300: Administering Relational Databases on Microsoft Azure

100% Pass Latest Microsoft - DP-300 Vce Free

Microsoft DP-300 Exam Syllabus Topics:

Plan and Implement Data Platform Resources (15-20%)

Implement a Secure Environment (15-20%)

Monitor and Optimize Operational Resources (15-20%)

Optimize Query Performance (5-10%)

Perform Automation of Tasks (10-15%)

Plan and Implement a High Availability and Disaster Recovery (HADR) Environment (15-20%)

Perform Administration by Using T-SQL (10-15%)

Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q238-Q243):

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